AI Automation Engineer, Real-World Test Lab
Core
Design and own end-to-end automation for evaluating physical AI systems (reconstruction, localization, spatial understanding) to produce trusted evidence for product releases.
Role type
Senior IC AI Automation Engineer (evaluation infrastructure)
Builds
Always-on evaluation service, automated test workflows, comparable scorecards, and diagnostic pipelines for physical AI models.
Domain
Physical AI, robotics, computer vision, 3D reconstruction, spatial intelligence
Deliverable
production ML models
Required skills
Python, orchestration, CI/CD pipelines, cloud storage, API integration, reproducible environments, technical writing, system evaluation
Preferred skills
Agent-based/LLM-driven automation, computer vision benchmarking, dashboard instrumentation, data provisioning infrastructure
Technologies
Python, orchestration tools, CI pipelines, cloud storage, APIs
Responsibilities
Build end-to-end automation for Lab evaluations (setup, orchestration, capture, collection); Instrument scorecards for cross-version/device comparison; Develop agent workflows for customer use cases; Convert manual experiments to standing automated protocols; Produce actionable diagnostics with reproducible data; Collaborate on data state management for reproducibility
Seniority
Senior, hands-on IC